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Courses » Surrogates and Approximations in Engineering Design

Surrogates and Approximations in Engineering Design

ABOUT THE COURSE:

In the context of engineering design, often the functional objective and the design constraints are approximated by connecting the design variables and the responses of interest at few points on the design space. Since these are approximation of the original functions, they are called surrogates and are widely used in design studies. This course will focus on introducing such surrogates on how to build, evaluate and use them in design. Surrogates discussed will include polynomial regression, kriging and radial basis function while Desgin of Experiments discussions will include latin hypercube sampling and hammersley sequence.

Important For Certification/Credit Transfer:

Weekly Assignments and Discussion Forum can be accessed ONLY by enrolling here

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Note: Content is Free!

All content including discussion forum and assignments, is free


Final Exam (in-person, invigilated, currently conducted in India) is mandatory for Certification and has INR Rs. 1100 as exam fee.


INTENDED AUDIENCE: Final year UG, Masters and PhD Students, Design and simulation engineers/managers in industry

CORE/ELECTIVE: Elective

UG/PG: UG and PG

PREREQUISITES: Basic linear algebra.

INDUSTRY SUPPORT: Fiat Chrysler Automotive, Cyient, Mahindra.

ABOUT THE INSTRUCTOR:



Prof. Palaniappan Ramu research interest revolves around optimization and treating uncertainties in product and process design to obtain reliable, robust and quality designs. Most of his work is focused on reduction of computer or physical experiments, building better metamodels, intelligently explore design space and enable better predictions and optimal designs under uncertainties.

COURSE LAYOUT:

Week 1 : Introduction, physical versus computational experiments, introduction to engineering optimization, need for surrogates in optimization
Week 2  :   Sampling plans, Latin squares, latin hypercubes sampling, stratification, Orthogonal arrays, hammerseley sequences
Week 3  :   Surrogates: Polynomial Regression, Radial basis function, Kriging
Week 4  :   Using surrogates in design space exploration and exploitation, infill criteria, adaptive sampling
  
SUGGESTED READING MATERIALS:

Forrester, A., & Keane, A. (2008). Engineering design via surrogate modelling: a practical guide. John Wiley & Sons.
CERTIFICATION EXAM :
  • The exam is optional for a fee.
  • Date of Exams : October 07 (Sunday)
  • Time of Exams : Morning session 9am to 12 noon; Afternoon session: 2pm to 5pm
  • Exam for this course will be available in both morning & afternoon sessions.
  • Registration url: Announcements will be made when the registration form is open for registrations.
  • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published.
CERTIFICATION:

  • Final score will be calculated as : 25% assignment score + 75% final exam score
  • 25% assignment score is calculated as 25% of average of Best 3 out of 4 assignments.
  • E-Certificate will be given to those who register and write the exam and score greater than or equal to 40% final score. Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Madras.It will be e-verifiable at nptel.ac.in/noc.